Model save
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README.md
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base_model: facebook/wav2vec2-base
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tags:
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- generated_from_trainer
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model-index:
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- name: small-deepfake
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results: []
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# small-deepfake
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.0003
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size:
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log |
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### Framework versions
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base_model: facebook/wav2vec2-base
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: small-deepfake
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results: []
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# small-deepfake
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6464
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- Accuracy: 0.65
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.0003
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 0.8 | 1 | 0.6969 | 0.35 |
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| No log | 1.6 | 2 | 0.9413 | 0.35 |
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| No log | 2.4 | 3 | 0.6769 | 0.6 |
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| No log | 3.2 | 4 | 0.6464 | 0.65 |
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### Framework versions
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model.safetensors
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runs/Mar28_04-07-03_5923093c863b/events.out.tfevents.1711598824.5923093c863b.1521.11
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